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Unlocking battery insights with interpretable machine learning

;

In
Joule 9(9), Seiten/Artikel-Nr.:102131

ImpressumAmsterdam : Elsevier B.V.

Umfang1-3

ISSN2542-4351

Online
DOI: 10.1016/j.joule.2025.102131


Einrichtungen

  1. Juniorprofessor für Artificial Intelligence and Digitalization for Batteries (619830)
  2. Lehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik (618310)


Thematische Einordnung (Klassifikation)
DDC: 333.7


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105015883067
WOS Core Collection: WOS:001578204700002

Interne Identnummern
RWTH-2025-08294
Datensatz-ID: 1019267

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF >= 30 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Electrical Engineering and Information Technology (Fac.6)
Public records
Publications database
618310
 Record created 2025-10-06, last modified 2025-10-07
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